BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

908 related articles for article (PubMed ID: 30523451)

  • 1. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
    Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
    Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction and verification of survival in patients with non-small-cell lung cancer based on an integrated radiomics nomogram.
    Li R; Peng H; Xue T; Li J; Ge Y; Wang G; Feng F
    Clin Radiol; 2022 Mar; 77(3):e222-e230. PubMed ID: 34974912
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 2D and 3D texture analysis to predict lymphovascular invasion in lung adenocarcinoma.
    Yang G; Nie P; Zhao L; Guo J; Xue W; Yan L; Cui J; Wang Z
    Eur J Radiol; 2020 Aug; 129():109111. PubMed ID: 32559593
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer.
    Huang Y; Liu Z; He L; Chen X; Pan D; Ma Z; Liang C; Tian J; Liang C
    Radiology; 2016 Dec; 281(3):947-957. PubMed ID: 27347764
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A CT-Based Radiomics Nomogram in Predicting the Postoperative Prognosis of Colorectal Cancer: A Two-center Study.
    Xue T; Peng H; Chen Q; Li M; Duan S; Feng F
    Acad Radiol; 2022 Nov; 29(11):1647-1660. PubMed ID: 35346564
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection.
    Xie T; Wang X; Li M; Tong T; Yu X; Zhou Z
    Eur Radiol; 2020 May; 30(5):2513-2524. PubMed ID: 32006171
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
    Sun F; Chen Y; Chen X; Sun X; Xing L
    Eur J Radiol; 2021 Jan; 134():109411. PubMed ID: 33246270
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development of a nomograph integrating radiomics and deep features based on MRI to predict the prognosis of high grade Gliomas.
    Wang Y; Shao Q; Luo S; Fu R
    Math Biosci Eng; 2021 Sep; 18(6):8084-8095. PubMed ID: 34814290
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer.
    Wang L; Dong T; Xin B; Xu C; Guo M; Zhang H; Feng D; Wang X; Yu J
    Eur Radiol; 2019 Jun; 29(6):2958-2967. PubMed ID: 30643940
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics Nomogram for Predicting Locoregional Failure in Locally Advanced Non-small Cell Lung Cancer Treated with Definitive Chemoradiotherapy.
    Chen X; Tong X; Qiu Q; Sun F; Yin Y; Gong G; Xing L; Sun X
    Acad Radiol; 2022 Feb; 29 Suppl 2():S53-S61. PubMed ID: 33308945
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Prognostic Model of Non-Small Cell Lung Cancer With a Radiomics Nomogram in an Eastern Chinese Population.
    Wang L; Liu A; Wang Z; Xu N; Zhou D; Qu T; Liu G; Wang J; Yang F; Guo X; Chi W; Xue F
    Front Oncol; 2022; 12():816766. PubMed ID: 35774128
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
    Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
    Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
    Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.
    Zhang B; Tian J; Dong D; Gu D; Dong Y; Zhang L; Lian Z; Liu J; Luo X; Pei S; Mo X; Huang W; Ouyang F; Guo B; Liang L; Chen W; Liang C; Zhang S
    Clin Cancer Res; 2017 Aug; 23(15):4259-4269. PubMed ID: 28280088
    [No Abstract]   [Full Text] [Related]  

  • 16. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
    Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
    Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
    Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
    Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology.
    Tu W; Sun G; Fan L; Wang Y; Xia Y; Guan Y; Li Q; Zhang D; Liu S; Li Z
    Lung Cancer; 2019 Jun; 132():28-35. PubMed ID: 31097090
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia.
    Li L; Wang L; Zeng F; Peng G; Ke Z; Liu H; Zha Y
    Eur Radiol; 2021 Oct; 31(10):7901-7912. PubMed ID: 33786655
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 46.